Build trust with responsible AI

AI can drive efficiency, though risks around data, bias, and oversight can grow just as fast. ⚖️ Responsible AI principles like privacy, transparency, and accountability help you stay in control while scaling AI. View the infographic to see how to build trust into every AI decision. @Microsoft365 #AI

Postmates uses GitHub Advanced Security to automatically surface vulnerabilities before hackers do.

As Postmates scaled, ensuring application security across hundreds of repositories became increasingly complex for its lean security team. To simplify, it deployed GitHub Advanced Security in Azure to automate vulnerability detection and reduce manual security work by embedding security directly into developer workflows. Get the story to learn how the company benefited from stronger security with less friction for engineering teams. @Microsoft Azure

Cummins uses Microsoft Purview to automate information governance more efficiently in the age of AI | Microsoft Customer Stories

When data lacks structure, compliance and AI adoption become harder to scale. 🔍 Cummins addressed this issue by automating classification and sensitivity labeling with Microsoft Purview, bringing control to millions of files. Read this customer story to see how better data governance supports secure AI adoption. @Microsoft Security

Anthropic’s Mythos Will Force a Cybersecurity Reckoning—Just Not the One You Think

WIRED's "Anthropic's Mythos Will Force a Cybersecurity Reckoning—Just Not the One You Think" takes a different angle on AI risk. Rather than focusing on traditional threats, the article explores how advanced AI systems may introduce new and less obvious vulnerabilities — forcing organizations to rethink security assumptions. Read the article ➡️

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